TY - JOUR ID - 822 TI - Modulation classification for burst-mode QAM signals in multipath fading channels JO - Iranian Journal of Science and Technology Transactions of Electrical Engineering JA - IJSTE LA - en SN - 2228-6179 Y1 - 2010 PY - 2010 VL - 34 IS - 3 SP - 257 EP - 274 KW - Blind equalization KW - modulation classification KW - multipath fading channel KW - soft clustering DO - 10.22099/ijste.2010.822 N2 - We present a new and efficient method for identifying the modulation type of a bursty QAM signal in the presence of additive white Gaussian noise (AWGN) in unknown fading channels and with unknown carrier phase. Our approach is based on an iterative combination of blind equalization and soft-clusteringtechniques, utilizes the constant modulus algorithm (CMA) for an initial reconstruction of the received signal constellation, and employs a nonparametric soft clustering method to identify a small set of possible modulations based on the partition coefficient (PC) criterion. We then use an iterative approach in utilizing the decision adjusted modulus algorithm (DAMA) to refine our choices until we reach two hypotheses. Besides, we propose a parallel implementation of the proposed method, and provide an asymptotic analysis as well as simulation results to demonstrate the validity and usefulness of the proposed method. Simulation results indicate that our proposed method achieves a significant gain as compared to the cumulant-based approach for burst mode transmissions in fading channels.           UR - https://ijste.shirazu.ac.ir/article_822.html L1 - https://ijste.shirazu.ac.ir/article_822_0ec768fd2b6e70517168b450fd920610.pdf ER -